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Darshan972

Scrapingdog MCP Server

by Darshan972

YouTube Comments API

youtube_comments

Fetch YouTube comments for a video by supplying its ID, with optional country and language filters.

Instructions

Get comments for a YouTube video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vYesYouTube video id (the part after ?v= in the URL).
countryNoTwo-letter ISO country code to geo-target results (e.g. us, gb, in, de). (API default: us)
languageNoResult language code (e.g. en, es, fr, de). (API default: en)
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden of disclosing behavioral traits. It only says 'Get comments', with no information about pagination, sorting, authorization, rate limits, or error behavior. This is a minimal action description, not a transparent behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with zero redundant words. It is concise and directly states the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description leaves unknown the response structure (e.g., what fields each comment contains), pagination behavior, and potential errors. For a simple tool with well-documented parameters, it provides the minimum for invocation but lacks the contextual enrichment needed for confident use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and each parameter (v, country, language) is already well-documented with examples and defaults. The tool description adds no additional parameter semantics, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description uses the specific verb 'Get' and identifies the resource as 'comments for a YouTube video', clearly distinguishing it from sibling tools like youtube_search or youtube_transcripts. The purpose is immediately obvious and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description merely states what it does, leaving the agent to infer usage context without additional direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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